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Build and maintain the infrastructure to deploy, monitor, and scale machine learning models that optimize protein production, using Python, cloud platforms, and MLOps tooling.
Design and deploy multi-turn conversational AI agents for enterprise sustainability use cases, using LLMs, agentic frameworks, and Azure/Databricks tooling.
Build and lead AI/ML systems for predictive maintenance and asset intelligence using LLMs, time-series models, and Industrial IoT data to automate workflows and prevent failures across industrial sites.
Senior MLOps Engineer designs and maintains Azure-based infrastructure for AI/ML workloads, automates CI/CD pipelines, and ensures scalable, secure cloud operations for a global SaaS provider.
Build and lead enterprise-grade conversational AI systems using LLMs and agentic frameworks to help users query complex sustainability and supply-chain data; work with Python, Azure, and Databricks.
Senior Software Engineer at AMD developing AI/ML software for GPU acceleration, optimizing frameworks like PyTorch and ONNX, and enabling high-performance AI solutions across Radeon and Ryzen products.
Research and develop generative AI solutions for an automation platform serving global manufacturing clients, integrating with mechanical engineering teams and existing systems.
Lead a team of machine learning scientists to build ranking, recommendation, and intent models for Expedia’s bundled travel products, integrating ML solutions into production systems to improve traveler experiences.
Build and optimize cutting-edge large language models and foundation models using decentralized learning methods, focusing on post-training, distributed GPU training, and open-source deployment.
Build and deploy machine learning models and data solutions for enterprise clients, working with cloud platforms and embedded systems to drive business outcomes.
Design and deploy AI/ML models to optimize manufacturing processes, predict quality issues, and improve operational efficiency using Python, PyTorch/TensorFlow, and MLOps tools.
Job Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in…
About Us: Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.…
Build and deploy ML pipelines for ad-bid optimization that feed directly into programmatic ad-buying platforms, using Python, statistics, and production-grade backend services.
Designs and deploys AI/ML systems—especially agentic workflows and RAG pipelines—within CoreView’s Microsoft 365 governance platform, shipping features that improve tenant resilience and productivity.
Senior Computer Vision Engineer builds and deploys AI models for live casino platforms, focusing on fraud detection and real-time video analytics using Python, PyTorch/TensorFlow, and OpenCV.
Designs and builds end-to-end machine learning systems for intelligent products, owning the full lifecycle from data pipelines to deployment and monitoring.
Senior Data Engineer at Hive building and scaling cloud-native data and ML platforms that power personalized marketing for 1,500+ events, handling millions of attendees and billions of interactions annually.
Build and scale the AI/ML backbone for autonomous defense systems, including training pipelines, synthetic data generation, and real-time edge inference on embedded hardware.
Build simulation, optimization, and AI/ML models to improve container terminal operations like vessel loading, yard management, and equipment efficiency.
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